Sentiment Analysis of Home Appliance Comment Based on Generative Probabilistic Model

Sentiment analysis plays important roles in the field of e-commerce. Not only the customers and end-users but also the suppliers and manufacturers take advantages of sentiment analysis results for product improvement. In this paper, based on the Latent Dirichlet Allocation (LDA) algorithm, a generative probabilistic model is proposed and applied to predict sentiment opinions of customer's online comments. Experiments show that the proposed model can be exploited well to make sentiment analysis of home appliance comment.

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